astro-ph.IM - 仪器仪表和天体物理学方法 cs.AI - 人工智能 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DL - 数字图书馆 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.NI - 网络和互联网体系结构 cs.PL - 编程语言 cs.RO - 机器人学 cs.SD - 声音处理 cs.SI - 社交网络与信息网络 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 gr-qc - 广义相对论与量子宇宙学 math.MG -公制几何 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.data-an - 数据分析、 统计和概率 physics.optics - 光学 physics.soc-ph - 物理学与社会 q-fin.RM - 风险管理 quant-ph - 量子物理 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [astro-ph.IM]Using Data Imputation for Signal Separation in High Contrast Imaging
    • [cs.AI]Emergent Behaviors from Folksonomy Driven Interactions
    • [cs.AI]On Consequentialism and Fairness
    • [cs.CL]Building chatbots from large scale domain-specific knowledge bases: challenges and opportunities
    • [cs.CL]Chemical-induced Disease Relation Extraction with Dependency Information and Prior Knowledge
    • [cs.CL]Deep Attentive Ranking Networks for Learning to Order Sentences
    • [cs.CL]Stacked DeBERT: All Attention in Incomplete Data for Text Classification
    • [cs.CL]The Shmoop Corpus: A Dataset of Stories with Loosely Aligned Summaries
    • [cs.CR]Privacy for Rescue: A New Testimony Why Privacy is Vulnerable In Deep Models
    • [cs.CV]A Coarse-to-Fine Adaptive Network for Appearance-Based Gaze Estimation
    • [cs.CV]AdderNet: Do We Really Need Multiplications in Deep Learning?
    • [cs.CV]BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation
    • [cs.CV]Butterfly detection and classification based on integrated YOLO algorithm
    • [cs.CV]DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection
    • [cs.CV]Erase and Restore: Simple, Accurate and Resilient Detection of $L_2$ Adversarial Examples
    • [cs.CV]First image then video: A two-stage network for spatiotemporal video denoising
    • [cs.CV]Graph-FCN for image semantic segmentation
    • [cs.CV]GraspNet: A Large-Scale Clustered and Densely Annotated Dataset for Object Grasping
    • [cs.CV]HMM-guided frame querying for bandwidth-constrained video search
    • [cs.CV]Handwritten Optical Character Recognition (OCR): A Comprehensive Systematic Literature Review (SLR)
    • [cs.CV]Lightweight Residual Densely Connected Convolutional Neural Network
    • [cs.CV]Low-Budget Unsupervised Label Query through Domain Alignment Enforcement
    • [cs.CV]Multi-lane Detection Using Instance Segmentation and Attentive Voting
    • [cs.CV]Multi-organ Segmentation over Partially Labeled Datasets with Multi-scale Feature Abstraction
    • [cs.CV]NAS-Bench-102: Extending the Scope of Reproducible Neural Architecture Search
    • [cs.CV]PrivacyNet: Semi-Adversarial Networks for Multi-attribute Face Privacy
    • [cs.CV]Using CNNs For Users Segmentation In Video See-Through Augmented Virtuality
    • [cs.CV]Video Cloze Procedure for Self-Supervised Spatio-Temporal Learning
    • [cs.CV]Video Saliency Prediction Using Enhanced Spatiotemporal Alignment Network
    • [cs.CV]ZeroQ: A Novel Zero Shot Quantization Framework
    • [cs.CY]”Happy and Assured that life will be easy 10years from now.”: Perceptions of Artificial Intelligence in 8 Countries
    • [cs.CY]A Feature Comparison of Modern Digital Forensic Imaging Software
    • [cs.CY]Computational Methods in Professional Communication
    • [cs.CY]Cost of Dietary Data Acquisition with Smart Group Catering
    • [cs.CY]Decades of Jurimetrics
    • [cs.CY]Learning from Learning Machines: Optimisation, Rules, and Social Norms
    • [cs.CY]Proceedings of NeurIPS 2019 Workshop on Machine Learning for the Developing World: Challenges and Risks of ML4D
    • [cs.CY]The Offense-Defense Balance of Scientific Knowledge: Does Publishing AI Research Reduce Misuse?
    • [cs.DB]Informal Data Transformation Considered Harmful
    • [cs.DC]AIR — A Light-Weight Yet High-Performance Dataflow Engine based on Asynchronous Iterative Routing
    • [cs.DC]Ripple: A Practical Declarative Programming Framework for Serverless Compute
    • [cs.DC]Using Nesting to Push the Limits of Transactional Data Structure Libraries
    • [cs.DL]The Demise of Single-Authored Publications in Computer Science: A Citation Network Analysis
    • [cs.IR]Multi-Graph Convolution Collaborative Filtering
    • [cs.IR]NeuroBoun: An inquiry-based approach for exploring scientific literature — a use case in neuroscience
    • [cs.IT]$4$-uniform BCT permutations from generalized butterfly structure
    • [cs.IT]3D UAV Trajectory and Communication Design for Simultaneous Uplink and Downlink Transmission
    • [cs.IT]An infinite family of linear codes supporting 4-designs
    • [cs.IT]Expand-and-Randomize: An Algebraic Approach to Secure Computation
    • [cs.IT]Graph Signal Processing — Part III: Machine Learning on Graphs, from Graph Topology to Applications
    • [cs.IT]Hybrid Combining Based on Constant Phase Shifters and Active/Inactive Switches
    • [cs.IT]Learning-Aided Deep Path Prediction for Sphere Decoding in Large MIMO Systems
    • [cs.IT]Mobility-Aware Content Placement for Device-to-Device Caching Systems
    • [cs.IT]On permutation quadrinomials and $4$-uniform BCT
    • [cs.IT]On the Interactive Capacity of Finite-State Protocols
    • [cs.IT]Optimal Randomized Group Testing Algorithm to Determine the Number of Defectives
    • [cs.IT]Ordered Reliability Bits Guessing Random Additive Noise Decoding
    • [cs.IT]Reconfigurable-Intelligent-Surface Empowered 6G Wireless Communications: Challenges and Opportunities
    • [cs.IT]Spectrum Intelligent Radio: Technology, Development, and Future Trends
    • [cs.IT]Subexponential and Linear Subpacketization Coded Caching via Line Graphs and Projective Geometry
    • [cs.LG]A Comprehensive and Modularized Statistical Framework for Gradient Norm Equality in Deep Neural Networks
    • [cs.LG]Adversarial Policies in Learning Systems with Malicious Experts
    • [cs.LG]Continuous-Discrete Reinforcement Learning for Hybrid Control in Robotics
    • [cs.LG]Deep Learning for Learning Graph Representations
    • [cs.LG]Differentially Private M-band Wavelet-Based Mechanisms in Machine Learning Environments
    • [cs.LG]Dual Adversarial Domain Adaptation
    • [cs.LG]Ensemble emotion recognizing with multiple modal physiological signals
    • [cs.LG]Ensembles of Many Diverse Weak Defenses can be Strong: Defending Deep Neural Networks Against Adversarial Attacks
    • [cs.LG]Fast Estimation of Information Theoretic Learning Descriptors using Explicit Inner Product Spaces
    • [cs.LG]Histogram Layers for Texture Analysis
    • [cs.LG]Inter- and Intra-domain Knowledge Transfer for Related Tasks in Deep Character Recognition
    • [cs.LG]Joint Goal and Strategy Inference across Heterogeneous Demonstrators via Reward Network Distillation
    • [cs.LG]Kernelized Support Tensor Train Machines
    • [cs.LG]Long-Term Visitation Value for Deep Exploration in Sparse Reward Reinforcement Learning
    • [cs.LG]Lossless Compression of Deep Neural Networks
    • [cs.LG]Meta Reinforcement Learning with Autonomous Inference of Subtask Dependencies
    • [cs.LG]Motivic clustering schemes for directed graphs
    • [cs.LG]No Spurious Local Minima in Deep Quadratic Networks
    • [cs.LG]Non-Parametric Learning of Gaifman Models
    • [cs.LG]On the Resilience of Deep Learning for Reduced-voltage FPGAs
    • [cs.LG]Online Similarity Learning with Feedback for Invoice Line Item Matching
    • [cs.LG]Options of Interest: Temporal Abstraction with Interest Functions
    • [cs.LG]PAC Confidence Sets for Deep Neural Networks via Calibrated Prediction
    • [cs.LG]PatDNN: Achieving Real-Time DNN Execution on Mobile Devices with Pattern-based Weight Pruning
    • [cs.LG]Protecting GANs against privacy attacks by preventing overfitting
    • [cs.LG]Reasoning on Knowledge Graphs with Debate Dynamics
    • [cs.LG]Reinforcement Learning with Goal-Distance Gradient
    • [cs.LG]Reject Illegal Inputs with Generative Classifier Derived from Any Discriminative Classifier
    • [cs.LG]Robust Marine Buoy Placement for Ship Detection Using Dropout K-Means
    • [cs.LG]Scalable Hierarchical Clustering with Tree Grafting
    • [cs.LG]Thresholds of descending algorithms in inference problems
    • [cs.LG]Uncertainty-Based Out-of-Distribution Classification in Deep Reinforcement Learning
    • [cs.LG]Visual Machine Learning: Insight through Eigenvectors, Chladni patterns and community detection in 2D particulate structures
    • [cs.NI]Let’s Share: A Game-Theoretic Framework for Resource Sharing in Mobile Edge Clouds
    • [cs.PL]Introduction to Rank-polymorphic Programming in Remora (Draft)
    • [cs.RO]Advanced Intelligent Systems for Surgical Robotics
    • [cs.RO]Close-Proximity Underwater Terrain Mapping Using Learning-based Coarse Range Estimation
    • [cs.RO]Fast Perception, Planning, and Execution for a Robotic Butler: Wheeled Humanoid M-Hubo
    • [cs.RO]From Drinking Philosophers to Wandering Robots
    • [cs.RO]Local Stability of PD Controlled Bipedal Walking Robots
    • [cs.RO]MIR-Vehicle: Cost-Effective Research Platform for Autonomous Vehicle Applications
    • [cs.RO]Motion Generation Interface of ROS to PODO Software Framework for Wheeled Huamanoid Robot
    • [cs.RO]Recent Advances in Human-Robot Collaboration Towards Joint Action
    • [cs.SD]Deep Representation Learning in Speech Processing: Challenges, Recent Advances, and Future Trends
    • [cs.SD]Phase-based Information for Voice Pathology Detection
    • [cs.SD]Temporal-Spatial Neural Filter: Direction Informed End-to-End Multi-channel Target Speech Separation
    • [cs.SI]Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction
    • [cs.SI]Monte Carlo Techniques for Approximating the Myerson Value — Theoretical and Empirical Analysis
    • [eess.AS]EEG based Continuous Speech Recognition using Transformers
    • [eess.IV]A Generalized Deep Learning Framework for Whole-Slide Image Segmentation and Analysis
    • [eess.IV]A Total Variation Denoising Method Based on Median Filter and Phase Consistency
    • [eess.IV]DuDoNet++: Encoding mask projection to reduce CT metal artifacts
    • [eess.IV]Joint Unsupervised Learning for the Vertebra Segmentation, Artifact Reduction and Modality Translation of CBCT Images
    • [eess.IV]Kalman Filtering and Expectation Maximization for Multitemporal Spectral Unmixing
    • [eess.IV]Non-rigid Registration Method between 3D CT Liver Data and 2D Ultrasonic Images based on Demons Model
    • [eess.IV]Physically Plausible Spectral Reconstruction from RGB Images
    • [eess.IV]Residual Block-based Multi-Label Classification and Localization Network with Integral Regression for Vertebrae Labeling
    • [eess.IV]Simulation of Skin Stretching around the Forehead Wrinkles in Rhytidectomy
    • [eess.SP]DeepBeat: A multi-task deep learning approach to assess signal quality and arrhythmia detection in wearable devices
    • [eess.SY]Development of a Connected and Automated Vehicle Longitudinal Control Model
    • [gr-qc]Core-Collapse Supernova Gravitational-Wave Search and Deep Learning Classification
    • [math.MG]A new upper bound for spherical codes
    • [math.OC]Stochastic gradient-free descents
    • [math.PR]Statistical Invariance of Betti Numbers in the Thermodynamic Regime
    • [math.ST]Consistency of Binary Segmentation For Multiple Change-Points Estimation With Functional Data
    • [math.ST]Modified Pillai’s trace statistics for two high-dimensional sample covariance matrices
    • [math.ST]On the Distribution of an Arbitrary Subset of the Eigenvalues for some Finite Dimensional Random Matrices
    • [math.ST]On the Improved Rates of Convergence for Matérn-type Kernel Ridge Regression, with Application to Calibration of Computer Models
    • [physics.data-an]Interpretable Conservation Law Estimation by Deriving the Symmetries of Dynamics from Trained Deep Neural Networks
    • [physics.optics]A Freeform Dielectric Metasurface Modeling Approach Based on Deep Neural Networks
    • [physics.soc-ph]Talent, Luck, Context and Perspective on Success: a disaggregating simulation using Risk
    • [q-fin.RM]The Impact of the Choice of Risk and Dispersion Measure on Procyclicality
    • [quant-ph]Cost-Function-Dependent Barren Plateaus in Shallow Quantum Neural Networks
    • [quant-ph]Optimal Entropy Compression and Purification in Quantum Bits
    • [quant-ph]Quantum Adversarial Machine Learning
    • [quant-ph]Reinforcement Quantum Annealing: A Quantum-Assisted Learning Automata Approach
    • [stat.AP]Asymptotic convergence rate of the longest run in an inflating Bernoulli net
    • [stat.AP]CircSpaceTime: an R package for spatial and spatio-temporal modeling of Circular data
    • [stat.AP]Combining interdependent climate model outputs in CMIP5: A spatial Bayesian approach
    • [stat.AP]Concentration of Benefit index: A threshold-free summary metric for quantifying the capacity of covariates to yield efficient treatment rules
    • [stat.CO]Recursive Formula for Labeled Graph Enumeration
    • [stat.ME]Circular Regression Trees and Forests with an Application to Probabilistic Wind Direction Forecasting
    • [stat.ME]Prediction in locally stationary time series
    • [stat.ML]A Deep Structural Model for Analyzing Correlated Multivariate Time Series
    • [stat.ML]Restricting the Flow: Information Bottlenecks for Attribution
    • [stat.ML]The Gambler’s Problem and Beyond

    ·····································

    • [astro-ph.IM]Using Data Imputation for Signal Separation in High Contrast Imaging
    Bin Ren, Laurent Pueyo, Christine Chen, Élodie Choquet, John H. Debes, Gaspard Duchêne, François Ménard, Marshall D. Perrin
    http://arxiv.org/abs/2001.00563v1

    • [cs.AI]Emergent Behaviors from Folksonomy Driven Interactions
    Massimiliano Dal Mas
    http://arxiv.org/abs/2001.00569v1

    • [cs.AI]On Consequentialism and Fairness
    Dallas Card, Noah A. Smith
    http://arxiv.org/abs/2001.00329v1

    • [cs.CL]Building chatbots from large scale domain-specific knowledge bases: challenges and opportunities
    Walid Shalaby, Adriano Arantes, Teresa GonzalezDiaz, Chetan Gupta
    http://arxiv.org/abs/2001.00100v1

    • [cs.CL]Chemical-induced Disease Relation Extraction with Dependency Information and Prior Knowledge
    Huiwei Zhou, Shixian Ning, Yunlong Yang, Zhuang Liu, Chengkun Lang, Yingyu Lin
    http://arxiv.org/abs/2001.00295v1

    • [cs.CL]Deep Attentive Ranking Networks for Learning to Order Sentences
    Pawan Kumar, Dhanajit Brahma, Harish Karnick, Piyush Rai
    http://arxiv.org/abs/2001.00056v1

    • [cs.CL]Stacked DeBERT: All Attention in Incomplete Data for Text Classification
    Gwenaelle Cunha Sergio, Minho Lee
    http://arxiv.org/abs/2001.00137v1

    • [cs.CL]The Shmoop Corpus: A Dataset of Stories with Loosely Aligned Summaries
    Atef Chaudhury, Makarand Tapaswi, Seung Wook Kim, Sanja Fidler
    http://arxiv.org/abs/1912.13082v2

    • [cs.CR]Privacy for Rescue: A New Testimony Why Privacy is Vulnerable In Deep Models
    Ruiyuan Gao, Ming Dun, Hailong Yang, Zhongzhi Luan, Depei Qian
    http://arxiv.org/abs/2001.00493v1

    • [cs.CV]A Coarse-to-Fine Adaptive Network for Appearance-Based Gaze Estimation
    Yihua Cheng, Shiyao Huang, Fei Wang, Chen Qian, Feng Lu
    http://arxiv.org/abs/2001.00187v1

    • [cs.CV]AdderNet: Do We Really Need Multiplications in Deep Learning?
    Hanting Chen, Yunhe Wang, Chunjing Xu, Boxin Shi, Chao Xu, Qi Tian, Chang Xu
    http://arxiv.org/abs/1912.13200v2

    • [cs.CV]BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation
    Hao Chen, Kunyang Sun, Zhi Tian, Chunhua Shen, Yongming Huang, Youliang Yan
    http://arxiv.org/abs/2001.00309v1

    • [cs.CV]Butterfly detection and classification based on integrated YOLO algorithm
    Bohan Liang, Shangxi Wu, Kaiyuan Xu, Jingyu Hao
    http://arxiv.org/abs/2001.00361v1

    • [cs.CV]DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection
    Ruben Tolosana, Ruben Vera-Rodriguez, Julian Fierrez, Aythami Morales, Javier Ortega-Garcia
    http://arxiv.org/abs/2001.00179v1

    • [cs.CV]Erase and Restore: Simple, Accurate and Resilient Detection of $L_2$ Adversarial Examples
    Fei Zuo, Qiang Zeng
    http://arxiv.org/abs/2001.00116v1

    • [cs.CV]First image then video: A two-stage network for spatiotemporal video denoising
    Ce Wang, S. Kevin Zhou, Zhiwei Cheng
    http://arxiv.org/abs/2001.00346v1

    • [cs.CV]Graph-FCN for image semantic segmentation
    Yi Lu, Yaran Chen, Dongbin Zhao, Jianxin Chen
    http://arxiv.org/abs/2001.00335v1

    • [cs.CV]GraspNet: A Large-Scale Clustered and Densely Annotated Dataset for Object Grasping
    Hao-Shu Fang, Chenxi Wang, Minghao Gou, Cewu Lu
    http://arxiv.org/abs/1912.13470v2

    • [cs.CV]HMM-guided frame querying for bandwidth-constrained video search
    Bhairav Chidambaram, Mason McGill, Pietro Perona
    http://arxiv.org/abs/2001.00057v1

    • [cs.CV]Handwritten Optical Character Recognition (OCR): A Comprehensive Systematic Literature Review (SLR)
    Jamshed Memon, Maira Sami, Rizwan Ahmed Khan
    http://arxiv.org/abs/2001.00139v1

    • [cs.CV]Lightweight Residual Densely Connected Convolutional Neural Network
    Fahimeh Fooladgar, Shohreh Kasaei
    http://arxiv.org/abs/2001.00526v1

    • [cs.CV]Low-Budget Unsupervised Label Query through Domain Alignment Enforcement
    Jurandy Almeida, Cristiano Saltori, Paolo Rota, Nicu Sebe
    http://arxiv.org/abs/2001.00238v1

    • [cs.CV]Multi-lane Detection Using Instance Segmentation and Attentive Voting
    Donghoon Chang, Vinjohn Chirakkal, Shubham Goswami, Munawar Hasan, Taekwon Jung, Jinkeon Kang, Seok-Cheol Kee, Dongkyu Lee, Ajit Pratap Singh
    http://arxiv.org/abs/2001.00236v1

    • [cs.CV]Multi-organ Segmentation over Partially Labeled Datasets with Multi-scale Feature Abstraction
    Xi Fang, Pingkun Yan
    http://arxiv.org/abs/2001.00208v1

    • [cs.CV]NAS-Bench-102: Extending the Scope of Reproducible Neural Architecture Search
    Xuanyi Dong, Yi Yang
    http://arxiv.org/abs/2001.00326v1

    • [cs.CV]PrivacyNet: Semi-Adversarial Networks for Multi-attribute Face Privacy
    Vahid Mirjalili, Sebastian Raschka, Arun Ross
    http://arxiv.org/abs/2001.00561v1

    • [cs.CV]Using CNNs For Users Segmentation In Video See-Through Augmented Virtuality
    Pierre-Olivier Pigny, Lionel Dominjon
    http://arxiv.org/abs/2001.00487v1

    • [cs.CV]Video Cloze Procedure for Self-Supervised Spatio-Temporal Learning
    Dezhao Luo, Chang Liu, Yu Zhou, Dongbao Yang, Can Ma, Qixiang Ye, Weiping Wang
    http://arxiv.org/abs/2001.00294v1

    • [cs.CV]Video Saliency Prediction Using Enhanced Spatiotemporal Alignment Network
    Jin Chen, Huihui Song, Kaihua Zhang, Bo Liu, Qingshan Liu
    http://arxiv.org/abs/2001.00292v1

    • [cs.CV]ZeroQ: A Novel Zero Shot Quantization Framework
    Yaohui Cai, Zhewei Yao, Zhen Dong, Amir Gholami, Michael W. Mahoney, Kurt Keutzer
    http://arxiv.org/abs/2001.00281v1

    • [cs.CY]“Happy and Assured that life will be easy 10years from now.”: Perceptions of Artificial Intelligence in 8 Countries
    Patrick Gage Kelley, Yongwei Yang, Courtney Heldreth, Christopher Moessner, Aaron Sedley, Andreas Kramm, David Newman, Allison Woodruff
    http://arxiv.org/abs/2001.00081v1

    • [cs.CY]A Feature Comparison of Modern Digital Forensic Imaging Software
    Jiyoon Ham, Joshua I. James
    http://arxiv.org/abs/2001.00301v1

    • [cs.CY]Computational Methods in Professional Communication
    André Calero Valdez, Lena Adam, Dennis Assenmacher, Laura Burbach, Malte Bonart, Lena Frischlich, Philipp Schaer
    http://arxiv.org/abs/2001.00565v1

    • [cs.CY]Cost of Dietary Data Acquisition with Smart Group Catering
    Jiapeng Dong, Pengju Wang, Weiqiang Sun
    http://arxiv.org/abs/2001.00367v1

    • [cs.CY]Decades of Jurimetrics
    Filipe J. Zabala, Fabiano F. Silveira
    http://arxiv.org/abs/2001.00476v1

    • [cs.CY]Learning from Learning Machines: Optimisation, Rules, and Social Norms
    Travis LaCroix, Yoshua Bengio
    http://arxiv.org/abs/2001.00006v1

    • [cs.CY]Proceedings of NeurIPS 2019 Workshop on Machine Learning for the Developing World: Challenges and Risks of ML4D
    Maria De-Arteaga, Tejumade Afonja, Amanda Coston
    http://arxiv.org/abs/2001.00249v1

    • [cs.CY]The Offense-Defense Balance of Scientific Knowledge: Does Publishing AI Research Reduce Misuse?
    Toby Shevlane, Allan Dafoe
    http://arxiv.org/abs/2001.00463v1

    • [cs.DB]Informal Data Transformation Considered Harmful
    Eric Daimler, Ryan Wisnesky
    http://arxiv.org/abs/2001.00338v1

    • [cs.DC]AIR — A Light-Weight Yet High-Performance Dataflow Engine based on Asynchronous Iterative Routing
    Vinu E. Venugopal, Martin Theobald, Samira Chaychi, Amal Tawakuli
    http://arxiv.org/abs/2001.00164v1

    • [cs.DC]Ripple: A Practical Declarative Programming Framework for Serverless Compute
    Shannon Joyner, Michael MacCoss, Christina Delimitrou, Hakim Weatherspoon
    http://arxiv.org/abs/2001.00222v1

    • [cs.DC]Using Nesting to Push the Limits of Transactional Data Structure Libraries
    Gal Assa, Hagar Meir, Guy Golan-Gueta, Idit Keidar, Alexander Spiegelman
    http://arxiv.org/abs/2001.00363v1

    • [cs.DL]The Demise of Single-Authored Publications in Computer Science: A Citation Network Analysis
    Brian K. Ryu
    http://arxiv.org/abs/2001.00350v1

    • [cs.IR]Multi-Graph Convolution Collaborative Filtering
    Jianing Sun, Yingxue Zhang, Chen Ma, Mark Coates, Huifeng Guo, Ruiming Tang, Xiuqiang He
    http://arxiv.org/abs/2001.00267v1

    • [cs.IR]NeuroBoun: An inquiry-based approach for exploring scientific literature — a use case in neuroscience
    S. Uskudarli, E. Gökdeniz, R. Canbeyli
    http://arxiv.org/abs/2001.00186v1

    • [cs.IT]$4$-uniform BCT permutations from generalized butterfly structure
    Nian Li, Zhao Hu, Maosheng Xiong, Xiangyong Zeng
    http://arxiv.org/abs/2001.00464v1

    • [cs.IT]3D UAV Trajectory and Communication Design for Simultaneous Uplink and Downlink Transmission
    Meng Hua, Luxi Yang, Qingqing Wu, A. Lee Swindlehurst
    http://arxiv.org/abs/2001.00351v1

    • [cs.IT]An infinite family of linear codes supporting 4-designs
    Chunming Tang, Cunsheng Ding
    http://arxiv.org/abs/2001.00158v1

    • [cs.IT]Expand-and-Randomize: An Algebraic Approach to Secure Computation
    Yizhou Zhao, Hua Sun
    http://arxiv.org/abs/2001.00539v1

    • [cs.IT]Graph Signal Processing — Part III: Machine Learning on Graphs, from Graph Topology to Applications
    Ljubisa Stankovic, Danilo Mandic, Milos Dakovic, Milos Brajovic, Bruno Scalzo, Shengxi Li, Anthony G. Constantinides
    http://arxiv.org/abs/2001.00426v1

    • [cs.IT]Hybrid Combining Based on Constant Phase Shifters and Active/Inactive Switches
    Eduard E. Bahingayi, Kyungchun Lee
    http://arxiv.org/abs/2001.00347v1

    • [cs.IT]Learning-Aided Deep Path Prediction for Sphere Decoding in Large MIMO Systems
    Doyeon Weon, Kyungchun Lee
    http://arxiv.org/abs/2001.00342v1

    • [cs.IT]Mobility-Aware Content Placement for Device-to-Device Caching Systems
    Jaeyoung Song, Wan Choi
    http://arxiv.org/abs/2001.00442v1

    • [cs.IT]On permutation quadrinomials and $4$-uniform BCT
    Nian Li, Maosheng Xiong, Xiangyong Zeng
    http://arxiv.org/abs/2001.00418v1

    • [cs.IT]On the Interactive Capacity of Finite-State Protocols
    Assaf Ben-Yishai, Young-Han Kim, Rotem Oshman, Ofer Shayevitz
    http://arxiv.org/abs/2001.00499v1

    • [cs.IT]Optimal Randomized Group Testing Algorithm to Determine the Number of Defectives
    Nader H. Bshouty, Catherine A. Haddad-Zaknoon, Raghd Boulos, Foad Moalem, Jalal Nada, Elias Noufi, Yara Zaknoon
    http://arxiv.org/abs/2001.00441v1

    • [cs.IT]Ordered Reliability Bits Guessing Random Additive Noise Decoding
    Ken R. Duffy
    http://arxiv.org/abs/2001.00546v1

    • [cs.IT]Reconfigurable-Intelligent-Surface Empowered 6G Wireless Communications: Challenges and Opportunities
    Xiaojun Yuan, Ying-Jun Zhang, Yuanming Shi, Wenjing Yan, Hang Liu
    http://arxiv.org/abs/2001.00364v1

    • [cs.IT]Spectrum Intelligent Radio: Technology, Development, and Future Trends
    Peng Cheng, Zhuo Chen, Ming Ding, Yonghui Li, Branka Vucetic, Dusit Niyato
    http://arxiv.org/abs/2001.00207v1

    • [cs.IT]Subexponential and Linear Subpacketization Coded Caching via Line Graphs and Projective Geometry
    Hari Hara Suthan Chittoor, Prasad Krishnan, K V Sushena Sree, Bhavana MVN
    http://arxiv.org/abs/2001.00399v1

    • [cs.LG]A Comprehensive and Modularized Statistical Framework for Gradient Norm Equality in Deep Neural Networks
    Zhaodong Chen, Lei Deng, Bangyan Wang, Guoqi Li, Yuan Xie
    http://arxiv.org/abs/2001.00254v1

    • [cs.LG]Adversarial Policies in Learning Systems with Malicious Experts
    S. Rasoul Etesami, Negar Kiyavash, H. Vincent Poor
    http://arxiv.org/abs/2001.00543v1

    • [cs.LG]Continuous-Discrete Reinforcement Learning for Hybrid Control in Robotics
    Michael Neunert, Abbas Abdolmaleki, Markus Wulfmeier, Thomas Lampe, Jost Tobias Springenberg, Roland Hafner, Francesco Romano, Jonas Buchli, Nicolas Heess, Martin Riedmiller
    http://arxiv.org/abs/2001.00449v1

    • [cs.LG]Deep Learning for Learning Graph Representations
    Wenwu Zhu, Xin Wang, Peng Cui
    http://arxiv.org/abs/2001.00293v1

    • [cs.LG]Differentially Private M-band Wavelet-Based Mechanisms in Machine Learning Environments
    Kenneth Choi, Tony Lee
    http://arxiv.org/abs/2001.00012v1

    • [cs.LG]Dual Adversarial Domain Adaptation
    Yuntao Du, Zhiwen Tan, Qian Chen, Xiaowen Zhang, Yirong Yao, Chongjun Wang
    http://arxiv.org/abs/2001.00153v1

    • [cs.LG]Ensemble emotion recognizing with multiple modal physiological signals
    Jing Zhang, Yong Zhang, Suhua Zhan, Cheng Cheng
    http://arxiv.org/abs/2001.00191v1

    • [cs.LG]Ensembles of Many Diverse Weak Defenses can be Strong: Defending Deep Neural Networks Against Adversarial Attacks
    Ying Meng, Jianhai Su, Jason O’Kane, Pooyan Jamshidi
    http://arxiv.org/abs/2001.00308v1

    • [cs.LG]Fast Estimation of Information Theoretic Learning Descriptors using Explicit Inner Product Spaces
    Kan Li, Jose C. Principe
    http://arxiv.org/abs/2001.00265v1

    • [cs.LG]Histogram Layers for Texture Analysis
    Joshua Peeples, Weihuang Xu, Alina Zare
    http://arxiv.org/abs/2001.00215v1

    • [cs.LG]Inter- and Intra-domain Knowledge Transfer for Related Tasks in Deep Character Recognition
    Nishai Kooverjee, Steven James, Terence van Zyl
    http://arxiv.org/abs/2001.00448v1

    • [cs.LG]Joint Goal and Strategy Inference across Heterogeneous Demonstrators via Reward Network Distillation
    Letian Chen, Rohan Paleja, Muyleng Ghuy, Matthew Gombolay
    http://arxiv.org/abs/2001.00503v1

    • [cs.LG]Kernelized Support Tensor Train Machines
    Cong Chen, Kim Batselier, Wenjian Yu, Ngai Wong
    http://arxiv.org/abs/2001.00360v1

    • [cs.LG]Long-Term Visitation Value for Deep Exploration in Sparse Reward Reinforcement Learning
    Simone Parisi, Davide Tateo, Maximilian Hensel, Carlo D’Eramo, Jan Peters, Joni Pajarinen
    http://arxiv.org/abs/2001.00119v1

    • [cs.LG]Lossless Compression of Deep Neural Networks
    Thiago Serra, Abhinav Kumar, Srikumar Ramalingam
    http://arxiv.org/abs/2001.00218v1

    • [cs.LG]Meta Reinforcement Learning with Autonomous Inference of Subtask Dependencies
    Sungryull Sohn, Hyunjae Woo, Jongwook Choi, Honglak Lee
    http://arxiv.org/abs/2001.00248v1

    • [cs.LG]Motivic clustering schemes for directed graphs
    Guilherme Vituri F. Pinto, Facundo Mémoli
    http://arxiv.org/abs/2001.00278v1

    • [cs.LG]No Spurious Local Minima in Deep Quadratic Networks
    Abbas Kazemipour, Brett Larsen, Shaul Druckmann
    http://arxiv.org/abs/2001.00098v1

    • [cs.LG]Non-Parametric Learning of Gaifman Models
    Devendra Singh Dhami, Siwen Yen, Gautam Kunapuli, Sriraam Natarajan
    http://arxiv.org/abs/2001.00528v1

    • [cs.LG]On the Resilience of Deep Learning for Reduced-voltage FPGAs
    Kamyar Givaki, Behzad Salami, Reza Hojabr, S. M. Reza Tayaranian, Ahmad Khonsari, Dara Rahmati, Saeid Gorgin, Adrian Cristal, Osman S. Unsal
    http://arxiv.org/abs/2001.00053v1

    • [cs.LG]Online Similarity Learning with Feedback for Invoice Line Item Matching
    Chandresh Kumar Maurya, Neelamadhav Gantayat, Sampath Dechu, Tomas Horvath
    http://arxiv.org/abs/2001.00288v1

    • [cs.LG]Options of Interest: Temporal Abstraction with Interest Functions
    Khimya Khetarpal, Martin Klissarov, Maxime Chevalier-Boisvert, Pierre-Luc Bacon, Doina Precup
    http://arxiv.org/abs/2001.00271v1

    • [cs.LG]PAC Confidence Sets for Deep Neural Networks via Calibrated Prediction
    Sangdon Park, Osbert Bastani, Nikolai Matni, Insup Lee
    http://arxiv.org/abs/2001.00106v1

    • [cs.LG]PatDNN: Achieving Real-Time DNN Execution on Mobile Devices with Pattern-based Weight Pruning
    Wei Niu, Xiaolong Ma, Sheng Lin, Shihao Wang, Xuehai Qian, Xue Lin, Yanzhi Wang, Bin Ren
    http://arxiv.org/abs/2001.00138v1

    • [cs.LG]Protecting GANs against privacy attacks by preventing overfitting
    Sumit Mukherjee, Yixi Xu, Anusua Trivedi, Juan Lavista Ferres
    http://arxiv.org/abs/2001.00071v1

    • [cs.LG]Reasoning on Knowledge Graphs with Debate Dynamics
    Marcel Hildebrandt, Jorge Andres Quintero Serna, Yunpu Ma, Martin Ringsquandl, Mitchell Joblin, Volker Tresp
    http://arxiv.org/abs/2001.00461v1

    • [cs.LG]Reinforcement Learning with Goal-Distance Gradient
    Kai Jiang, XiaoLong Qin
    http://arxiv.org/abs/2001.00127v1

    • [cs.LG]Reject Illegal Inputs with Generative Classifier Derived from Any Discriminative Classifier
    Xin Wang
    http://arxiv.org/abs/2001.00483v1

    • [cs.LG]Robust Marine Buoy Placement for Ship Detection Using Dropout K-Means
    Yuting Ng, João M. Pereira, Denis Garagic, Vahid Tarokh
    http://arxiv.org/abs/2001.00564v1

    • [cs.LG]Scalable Hierarchical Clustering with Tree Grafting
    Nicholas Monath, Ari Kobren, Akshay Krishnamurthy, Michael Glass, Andrew McCallum
    http://arxiv.org/abs/2001.00076v1

    • [cs.LG]Thresholds of descending algorithms in inference problems
    Stefano Sarao Mannelli, Lenka Zdeborova
    http://arxiv.org/abs/2001.00479v1

    • [cs.LG]Uncertainty-Based Out-of-Distribution Classification in Deep Reinforcement Learning
    Andreas Sedlmeier, Thomas Gabor, Thomy Phan, Lenz Belzner, Claudia Linnhoff-Popien
    http://arxiv.org/abs/2001.00496v1

    • [cs.LG]Visual Machine Learning: Insight through Eigenvectors, Chladni patterns and community detection in 2D particulate structures
    Raj Kishore, S. Swayamjyoti, Shreeja Das, Ajay K. Gogineni, Zohar Nussinov, D. Solenov, Kisor K. Sahu
    http://arxiv.org/abs/2001.00345v1

    • [cs.NI]Let’s Share: A Game-Theoretic Framework for Resource Sharing in Mobile Edge Clouds
    Faheem Zafari, Kin K. Leung, Don Towsley, Prithwish Basu, Ananthram Swami, Jian Li
    http://arxiv.org/abs/2001.00567v1

    • [cs.PL]Introduction to Rank-polymorphic Programming in Remora (Draft)
    Olin Shivers, Justin Slepak, Panagiotis Manolios
    http://arxiv.org/abs/1912.13451v2

    • [cs.RO]Advanced Intelligent Systems for Surgical Robotics
    Mai Thanh Thai, Phuoc Thien Phan, Shing Wong, Nigel H. Lovell, Thanh Nho Do
    http://arxiv.org/abs/2001.00285v1

    • [cs.RO]Close-Proximity Underwater Terrain Mapping Using Learning-based Coarse Range Estimation
    Bilal Arain, Feras Dayoub, Paul Rigby, Matthew Dunbabin
    http://arxiv.org/abs/2001.00330v1

    • [cs.RO]Fast Perception, Planning, and Execution for a Robotic Butler: Wheeled Humanoid M-Hubo
    Moonyoung Lee, Yujin Heo, Jinyong Park, Hyun-Dae Yang Ho-Deok Jang, Philipp Benz, Hyunsub Park, In So Kweon, Jun-Ho Oh
    http://arxiv.org/abs/2001.00356v1

    • [cs.RO]From Drinking Philosophers to Wandering Robots
    Yunus Emre Sahin, Necmiye Ozay
    http://arxiv.org/abs/2001.00440v1

    • [cs.RO]Local Stability of PD Controlled Bipedal Walking Robots
    Shishir Kolathaya
    http://arxiv.org/abs/2001.00145v1

    • [cs.RO]MIR-Vehicle: Cost-Effective Research Platform for Autonomous Vehicle Applications
    Ahmed Abdelhamed, Balakrishna Yadav Peddagolla, Girma Tewolde, Jaerock Kwon
    http://arxiv.org/abs/2001.00048v1

    • [cs.RO]Motion Generation Interface of ROS to PODO Software Framework for Wheeled Huamanoid Robot
    Moonyoung Lee, Yujin Heo, Saihim Cho, Hyunsub Park, Jun-Ho Oh
    http://arxiv.org/abs/2001.00358v1

    • [cs.RO]Recent Advances in Human-Robot Collaboration Towards Joint Action
    Yeshasvi Tirupachuri, Gabriele Nava, Lorenzo Rapetti, Claudia Latella, Kourosh Darvish, Daniele Pucci
    http://arxiv.org/abs/2001.00411v1

    • [cs.SD]Deep Representation Learning in Speech Processing: Challenges, Recent Advances, and Future Trends
    Siddique Latif, Rajib Rana, Sara Khalifa, Raja Jurdak, Junaid Qadir, Björn W. Schuller
    http://arxiv.org/abs/2001.00378v1

    • [cs.SD]Phase-based Information for Voice Pathology Detection
    Thomas Drugman, Thomas Dubuisson, Thierry Dutoit
    http://arxiv.org/abs/2001.00372v1

    • [cs.SD]Temporal-Spatial Neural Filter: Direction Informed End-to-End Multi-channel Target Speech Separation
    Rongzhi Gu, Yuexian Zou
    http://arxiv.org/abs/2001.00391v1

    • [cs.SI]Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction
    Aravind Sankar, Xinyang Zhang, Adit Krishnan, Jiawei Han
    http://arxiv.org/abs/2001.00132v1

    • [cs.SI]Monte Carlo Techniques for Approximating the Myerson Value — Theoretical and Empirical Analysis
    Mateusz K. Tarkowski, Szymon Matejczyk, Tomasz P. Michalak, Michael Wooldridge
    http://arxiv.org/abs/2001.00065v1

    • [eess.AS]EEG based Continuous Speech Recognition using Transformers
    Gautam Krishna, Co Tran, Mason Carnahan, Ahmed H Tewfik
    http://arxiv.org/abs/2001.00501v1

    • [eess.IV]A Generalized Deep Learning Framework for Whole-Slide Image Segmentation and Analysis
    Mahendra Khened, Avinash Kori, Haran Rajkumar, Balaji Srinivasan, Ganapathy Krishnamurthi
    http://arxiv.org/abs/2001.00258v1

    • [eess.IV]A Total Variation Denoising Method Based on Median Filter and Phase Consistency
    Shuo Huang, Suiren Wan
    http://arxiv.org/abs/2001.00150v1

    • [eess.IV]DuDoNet++: Encoding mask projection to reduce CT metal artifacts
    Yuanyuan Lyu, Wei-An Lin, Jingjing Lu, S. Kevin Zhou
    http://arxiv.org/abs/2001.00340v1

    • [eess.IV]Joint Unsupervised Learning for the Vertebra Segmentation, Artifact Reduction and Modality Translation of CBCT Images
    Yuanyuan Lyu, Haofu Liao, Heqin Zhu, S. Kevin Zhou
    http://arxiv.org/abs/2001.00339v1

    • [eess.IV]Kalman Filtering and Expectation Maximization for Multitemporal Spectral Unmixing
    Ricardo Augusto Borsoi, Tales Imbiriba, Pau Closas, José Carlos Moreira Bermudez, Cédric Richard
    http://arxiv.org/abs/2001.00425v1

    • [eess.IV]Non-rigid Registration Method between 3D CT Liver Data and 2D Ultrasonic Images based on Demons Model
    Shuo Huang, Ke wu, Xiaolin Meng, Cheng Li
    http://arxiv.org/abs/2001.00035v1

    • [eess.IV]Physically Plausible Spectral Reconstruction from RGB Images
    Yi-Tun Lin, Graham D. Finlayson
    http://arxiv.org/abs/2001.00558v1

    • [eess.IV]Residual Block-based Multi-Label Classification and Localization Network with Integral Regression for Vertebrae Labeling
    Chunli Qin, Demin Yao, Han Zhuang, Hui Wang, Yonghong Shi, Zhijian Song
    http://arxiv.org/abs/2001.00170v1

    • [eess.IV]Simulation of Skin Stretching around the Forehead Wrinkles in Rhytidectomy
    Ping Zhou, Shuo Huang, Qiang Chen, Siyuan He, Guochao Cai
    http://arxiv.org/abs/2001.00149v1

    • [eess.SP]DeepBeat: A multi-task deep learning approach to assess signal quality and arrhythmia detection in wearable devices
    Jessica Torres Soto, Euan Ashley
    http://arxiv.org/abs/2001.00155v1

    • [eess.SY]Development of a Connected and Automated Vehicle Longitudinal Control Model
    Mizanur Rahman, Md Rafiul Islam, Mashrur Chowdhury, Taufiquar Khan
    http://arxiv.org/abs/2001.00135v1

    • [gr-qc]Core-Collapse Supernova Gravitational-Wave Search and Deep Learning Classification
    Alberto Iess, Elena Cuoco, Filip Morawski, Jade Powell
    http://arxiv.org/abs/2001.00279v1

    • [math.MG]A new upper bound for spherical codes
    Naser T. Sardari, Masoud Zargar
    http://arxiv.org/abs/2001.00185v1

    • [math.OC]Stochastic gradient-free descents
    Xiaopeng Luo, Xin Xu
    http://arxiv.org/abs/1912.13305v2

    • [math.PR]Statistical Invariance of Betti Numbers in the Thermodynamic Regime
    Siddharth Vishwanath, Kenji Fukumizu, Satoshi Kuriki, Bharath Sriperumbudur
    http://arxiv.org/abs/2001.00220v1

    • [math.ST]Consistency of Binary Segmentation For Multiple Change-Points Estimation With Functional Data
    Gregory Rice, Chi Zhang
    http://arxiv.org/abs/2001.00093v1

    • [math.ST]Modified Pillai’s trace statistics for two high-dimensional sample covariance matrices
    Qiuyan Zhang, Jiang Hu, Zhidong Bai
    http://arxiv.org/abs/2001.00397v1

    • [math.ST]On the Distribution of an Arbitrary Subset of the Eigenvalues for some Finite Dimensional Random Matrices
    Marco Chiani, Alberto Zanella
    http://arxiv.org/abs/2001.00519v1

    • [math.ST]On the Improved Rates of Convergence for Matérn-type Kernel Ridge Regression, with Application to Calibration of Computer Models
    Rui Tuo, Yan Wang, C. F. Jeff Wu
    http://arxiv.org/abs/2001.00152v1

    • [physics.data-an]Interpretable Conservation Law Estimation by Deriving the Symmetries of Dynamics from Trained Deep Neural Networks
    Yoh-ichi Mototake
    http://arxiv.org/abs/2001.00111v1

    • [physics.optics]A Freeform Dielectric Metasurface Modeling Approach Based on Deep Neural Networks
    Sensong An, Bowen Zheng, Mikhail Y. Shalaginov, Hong Tang, Hang Li, Li Zhou, Jun Ding, Anuradha Murthy Agarwal, Clara Rivero-Baleine, Myungkoo Kang, Kathleen A. Richardson, Tian Gu, Juejun Hu, Clayton Fowler, Hualiang Zhang
    http://arxiv.org/abs/2001.00121v1

    • [physics.soc-ph]Talent, Luck, Context and Perspective on Success: a disaggregating simulation using Risk
    Bernardo Alves Furtado
    http://arxiv.org/abs/2001.00034v1

    • [q-fin.RM]The Impact of the Choice of Risk and Dispersion Measure on Procyclicality
    Marcel Bräutigam, Marie Kratz
    http://arxiv.org/abs/2001.00529v1

    • [quant-ph]Cost-Function-Dependent Barren Plateaus in Shallow Quantum Neural Networks
    M. Cerezo, Akira Sone, Tyler Volkoff, Lukasz Cincio, Patrick J. Coles
    http://arxiv.org/abs/2001.00550v1

    • [quant-ph]Optimal Entropy Compression and Purification in Quantum Bits
    Varad R. Pande
    http://arxiv.org/abs/2001.00562v1

    • [quant-ph]Quantum Adversarial Machine Learning
    Sirui Lu, Lu-Ming Duan, Dong-Ling Deng
    http://arxiv.org/abs/2001.00030v1

    • [quant-ph]Reinforcement Quantum Annealing: A Quantum-Assisted Learning Automata Approach
    Ramin Ayanzadeh, Milton Halem, Tim Finin
    http://arxiv.org/abs/2001.00234v1

    • [stat.AP]Asymptotic convergence rate of the longest run in an inflating Bernoulli net
    Kai Ni, Shanshan Cao, Xiaoming Huo
    http://arxiv.org/abs/2001.00068v1

    • [stat.AP]CircSpaceTime: an R package for spatial and spatio-temporal modeling of Circular data
    Giovanna Jona Lasinio, Mario Santoro, Gianluca Mastrantonio
    http://arxiv.org/abs/2001.00405v1

    • [stat.AP]Combining interdependent climate model outputs in CMIP5: A spatial Bayesian approach
    Huang Huang, Dorit Hammerling, Bo Li, Richard Smith
    http://arxiv.org/abs/2001.00074v1

    • [stat.AP]Concentration of Benefit index: A threshold-free summary metric for quantifying the capacity of covariates to yield efficient treatment rules
    Mohsen Sadatsafavi, Mohammad Ali Mansournia, Paul Gustafson
    http://arxiv.org/abs/2001.00299v1

    • [stat.CO]Recursive Formula for Labeled Graph Enumeration
    Ravi Goyal, Victor De Gruttola
    http://arxiv.org/abs/2001.00084v1

    • [stat.ME]Circular Regression Trees and Forests with an Application to Probabilistic Wind Direction Forecasting
    Moritz N. Lang, Lisa Schlosser, Torsten Hothorn, Georg J. Mayr, Reto Stauffer, Achim Zeileis
    http://arxiv.org/abs/2001.00412v1

    • [stat.ME]Prediction in locally stationary time series
    Holger Dette, Weichi Wu
    http://arxiv.org/abs/2001.00419v1

    • [stat.ML]A Deep Structural Model for Analyzing Correlated Multivariate Time Series
    Changwei Hu, Yifan Hu, Sungyong Seo
    http://arxiv.org/abs/2001.00559v1

    • [stat.ML]Restricting the Flow: Information Bottlenecks for Attribution
    Karl Schulz, Leon Sixt, Federico Tombari, Tim Landgraf
    http://arxiv.org/abs/2001.00396v1

    • [stat.ML]The Gambler’s Problem and Beyond
    Baoxiang Wang, Shuai Li, Jiajin Li, Siu On Chan
    http://arxiv.org/abs/2001.00102v1